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检索条件"丛书名=Lecture Notes in Business Information Processing 149"

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A Bibliometric Analysis of Location-Based Social Networks and Applications: Research Trends and Future Challenges 1

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23rd Wuhan International Conference on E-business (WHICEB)

作者： Liu, Lin Yao, Xiaoyu Anhui Agr Univ Coll Resources & Environm 130 Changjiangxilu Hefei Anhui Peoples R China Univ Sci & Technol China Sch Management Jinzhai Rd 96 Hefei Anhui Peoples R China

ISBN: (数字)9783031602641

ISBN: (纸本)9783031602634;9783031602641

Location-based social networks (LBSN) have undergone rapid development over the past decade, garnering extensive attention from scholars in various research domains. However, the current status and overarching trends in the field of LBSN and relevant applications remain unclear, and key research hotspots and keywords are yet to be distinctly identified. This bibliometric study delves into the expansive realm of LBSN, uncovering research trends and future challenges. This study aims to address these issues by analyzing 1,099 high-quality articles from the Web of Science database between 2010 and 2023, and the analytical tools are CiteSpace and VOSviewer. The study unveiled pressing challenges confronting LBSN research, such as privacy concerns, the integration of emerging technologies, and the imperative for interdisciplinary collaboration. These challenges present promising opportunities for future exploration and innovation within the LBSN domain. As a roadmap for future research endeavors, this analysis guides researchers to Supporting socially marginalized communities, discovering and preventing of public health issues, and integrating and organizing multimodal geographic information.

关键词： bibliometric analysis Location-based social network Geo-social network Geo-privacy smart city

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Prompt Patterns for Agile Software Project Managers: First Results 14th

Prompt Patterns for Agile Software Project Managers: First R...

引用

14th International Conference on Software business (ICSOB)

作者： Sainio, Kari Abrahamsson, Pekka Ahtee, Tero Univ Tampere Tampere 33100 Finland

ISBN: (纸本)9783031532269;9783031532276

In the evolving field of Agile Project Management (APM), the role of the project manager is in transition. This paper identifies common 'pain points' in APM through a literature review and constructs a theoretical model to address them. The study introduces 'Prompt Engineering' as a novel approach to leverage artificial intelligence (AI), specifically ChatGPT, for mitigating these challenges. Empirical research evaluates ChatGPT's capabilities and reliability in managing various project tasks using engineered prompts. The findings suggest that while ChatGPT cannot fully replace human project managers, it excels in assisting, guiding, and automating specific tasks when guided by well-crafted prompts. As an outcome, prompt engineering patterns for project managers is proposed to facilitate the application of AI in agile settings. In this paper, we introduce patterns for requirements management, stakeholder and management teams and role clarification. The paper concludes that ChatGPT's knowledge is generally reliable but emphasizes the need for expert evaluation in critical areas.

关键词： Agile Project Management Pain Points Artificial Intelligence LLM ChatGPT Prompt Engineering Patterns

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Positive Customer Experience is Enhanced by Effective Agile Practices 14th

Positive Customer Experience is Enhanced by Effective Agile ...

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14th International Conference on Software business (ICSOB)

作者： Piiroinen, Riina Jormanainen, Ilkka Tukiainen, Markku Univ Eastern Finland Joensuu 80110 Finland

ISBN: (纸本)9783031532269;9783031532276

This paper explores the connection between agile methods and digital customer experience, aiming to identify what are the hallmarks of a good agile way of working. The research is an exploratory case study consisting of interviews and analysis. In summary, the research suggests that the hallmarks of a good agile way of working are 1) breaking down tasks into sufficiently small pieces, 2) defining tasks precisely and releasing them to production evenly, 3) continuous improvement, and 4) good planning of sprints. These good agile operating methods can be seen in the development measures as a short lead time, a short time to export to production, low errors, and a high deployment frequency. According to the findings, these metrics are linked to the Net Promoter Score (NPS), a measure of customer experience. A team with sufficient technical capabilities team that utilizes agile operating methods is able to produce the desired things for customers at exactly the right time while constantly improving, so that the NPS is positive, and its direction is improving. On the other hand, the team's bad operatingmethods are also visible in the NPS meter - in this case, the NPS fluctuates strongly. Teams can obtain insightful supplementary data about their own practices by keeping track of development measures.

关键词： agile methods project management software development agile organization customer experience

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A Model-Driven Engineering Perspective for the Object-Centric Event Data (OCED) Metamodel

A Model-Driven Engineering Perspective for the Object-Centri...

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21st International Conference on business Process Management (BPM)

作者： Calegari, Daniel Delgado, Andrea Univ Republica Inst Computac Fac Ingn Montevideo 11300 Uruguay

ISBN: (纸本)9783031509735;9783031509742

Object-centric process mining has been proposed as a practical solution for dealing with the multiple views from which a process can be analyzed regarding its relation with organizational data (i.e., objects). The Object-Centric Event Data (OCED) metamodel was recently proposed as a data exchange standard for object-centric process mining. As far as we know, the metamodel has yet to be studied from a Model-Driven Engineering (MDE) perspective. This paper provides an Ecore-based representation of the OCED metamodel and explores its capabilities from an MDE perspective. We also study how the business Process and Organizational Data Integrated Metamodel (BPODIM), i.e., a proposal for integrating process and organizational data, can be aligned with OCED providing fruitful information for OCED improvement.

关键词： Object-centric OCED model-driven engineering

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Pricing Product Data for Manufacturing Enterprises: A Bargaining Model 23rd

Pricing Product Data for Manufacturing Enterprises: A Bargai...

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23rd Wuhan International Conference on E-business (WHICEB)

作者： Yang, Ting Zhang, Meishu Jia, Yu Wang, Nianxin Ge, Shilun Jiangsu Univ Sci & Technol Sch Econ & Management Zhenjiang 212003 Jiangsu Peoples R China Jiangsu Univ Sci & Technol Dept Humanities & Social Sci Zhenjiang 212003 Jiangsu Peoples R China

ISBN: (纸本)9783031602597;9783031602603

Pricing is the pivotal aspect in the commercialization of data elements, serving as the fundamental mechanism of the data element market. In this study, we focus on the product data and aim to set reasonable prices for the product data trading in manufacturing enterprises. Specifically, we identify key factors such as production cost and market loss for the product data owner, R&D investment, market return, and equipment cost for demander, and develop a three-stage one-to-one bargaining pricing model between owners and demanders. Results indicate that, (1) the equilibrium price of product data is positively correlated with the owner's discount factor, market loss rate, and demander's market rate of return, and negatively associated with the demander's discount factor and equipment cost rate. (2) the owner's equilibrium return is positively correlated with the owner's discount factor and the demander's market rate of return, and negatively correlated with the owner's market rate of loss, the demander's discount factor, and the equipment cost rate. (3) the demander's equilibrium returns are positively associated with the demander's discount factor and market rate of return and inversely related to the owner's discount factor, market loss rate, and demander's equipment input cost rate. This study provides a novel perspective on trading strategy for product data in manufacturing enterprises and expands existing studies that mainly focused on pricing of domain data.

关键词： Product Data Pricing Models Bargaining Mode Manufacturing Enterprises

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Using Reinforcement Learning to Optimize Responses in Care Processes: A Case Study on Aggression Incidents

Using Reinforcement Learning to Optimize Responses in Care P...

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21st International Conference on business Process Management (BPM)

作者： Verhoef, Bart J. Lu, Xixi Univ Utrecht Utrecht Netherlands

ISBN: (纸本)9783031509735;9783031509742

Previous studies have used prescriptive process monitoring to find actionable policies in business processes and conducted case studies in similar domains, such as the loan application process and the traffic fine process. However, care processes tend to be more dynamic and complex. For example, at any stage of a care process, a multitude of actions is possible. In this paper, we follow the reinforcement approach and train a Markov decision process using event data from a care process. The goal was to find optimal policies for staff members when clients are displaying any type of aggressive behavior. We used the reinforcement learning algorithms Q-learning and SARSA to find optimal policies. Results showed that the policies derived from these algorithms are similar to the most frequent actions currently used but provide the staff members with a few more options in certain situations.

关键词： prescriptive process mining reinforcement learning Markov decision process process optimization process mining

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Quantum Software Ecosystem: Stakeholders, Interactions and Challenges 14th

Quantum Software Ecosystem: Stakeholders, Interactions and C...

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14th International Conference on Software business (ICSOB)

作者： Stirbu, Vlad Mikkonen, Tommi Univ Jyvaskyla Jyvaskyla Finland

ISBN: (纸本)9783031532269;9783031532276

The emergence of quantum computing proposes a revolutionary paradigm that can radically transform numerous scientific and industrial application domains. The ability of quantum computers to scale computations imply better performance and efficiency for certain algorithmic tasks than current computers provide. However, to gain benefit from such improvement, quantum computers must be integrated with existing software systems, a process that is not straightforward. In this paper, we investigate the quantum computing ecosystem and the stake-holders involved in building larger hybrid classical-quantum systems. In addition, we discuss the challenges that are emerging at the horizon as the field of quantum computing becomes more mature.

关键词： Quantum software Quantum ecosystem Value chain

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DevOps Challenges and Risk Mitigation Strategies by DevOps Professionals Teams 14th

DevOps Challenges and Risk Mitigation Strategies by DevOps P...

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14th International Conference on Software business (ICSOB)

作者： Azad, Nasreen Dept Software Engn Lappeenranta Finland

ISBN: (纸本)9783031532269;9783031532276

DevOps is a team culture and organizational practice that eliminates inefficiencies and bottlenecks in the DevOps infrastructure. While many companies are adopting DevOps practices, it can still be risky. We conducted 26 interviews with DevOps professionals around the globe and found four major risks associated with DevOps practices: Organizational risks (Intra-organizational collaboration and communication, strategic planning), Social and cultural risks (Team Dynamics, Cultural shift), Technical risks (Integration, Build and test automation), Ethics and security breaches in DevOps environment (Ethical risks, Data collection ethics, Ethical decision making). Our research also identified several risk mitigation strategies namely continuous testing, using infrastructure as code, security audit and monitoring, disaster recovery planning, cross-functional training, proper documentation, continuous learning, continuous improvement etc. that companies can adopt for better performance and efficiency.

关键词： DevOps DevOps practice DevOps risks DevOps risk mitigation strategies Qualitative research

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What Is the Cost of AI Ethics? Initial Conceptual Framework and Empirical Insights 14th

What Is the Cost of AI Ethics? Initial Conceptual Framework ...

引用

14th International Conference on Software business (ICSOB)

作者： Kemell, Kai-Kristian Vakkuri, Ville Univ Helsinki Dept Comp Sci Pietari Kalmin Katu 5 Helsinki 00560 Finland Univ Vaasa Sch Mkt & Commun Wolffintie 32 Vaasa PL 700 FI-65200 Vaasa Finland

ISBN: (纸本)9783031532269;9783031532276

AI ethics has become a common topic of discussion in both media and academic research. Companies are also increasingly interested in AI ethics, although there are still various challenges associated with bringing AI ethics into practice. Especially from a business point of view, AI ethics remains largely unexplored. The lack of established processes and practices for implementing AI ethics is an issue in this regard as well, as resource estimation is challenging if the process is fuzzy. In this paper, we begin tackling this issue by providing initial insights into the cost of AI ethics. Building on existing literature on software quality cost estimation, we draw parallels between the past state of quality in Software Engineering (SE) and the current state of AI ethics. Empirical examples are then utilized to showcase some elements of the cost of implementing AI ethics. While this paper provides an initial look into the cost of AI ethics and useful insights from comparisons to software quality, the practice of implementing AI ethics remains nascent, and, thus, a better empirical understanding of AI ethics is required going forward.

关键词： Ethics Machine learning Cost estimation Software engineering Artificial intelligence

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Adaptation of Enterprise Modeling Methods for Large Language Models 16th

Adaptation of Enterprise Modeling Methods for Large Language...

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16th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling (PoEM) - Enterprise Modeling in the Circular Economy

作者： Barn, Balbir S. Barat, Souvik Sandkuhl, Kurt Middlesex Univ London England Tata Consultancy Serv Res Pune Maharashtra India Univ Rostock Rostock Germany

ISBN: (纸本)9783031485824;9783031485831

Large language models (LLM) are considered by many researchers as promising technology for automating routine tasks. Results from applying LLM in engineering disciplines such as Enterprise Modeling also indicate potential for the support of modeling activities. LLMs are fine-tuned for specific tasks using chat based interaction through the use of prompts. This paper aims at a detailed investigation of the potential of LLMs in Enterprise Modeling (EM) by taking the perspective of EM method adaptation of selected parts of the modeling process within the context of using prompts to interrogate the LLM. The research question addressed is: What adaptations in EM methods have to be made to exploit the potential of prompt based interaction with LLMs? The main contributions are (1) a meta-model for prompt engineering that integrates the concepts of the modeling domain under consideration with the notation of the modeling language applied and the input and output of prompts, (2) an investigation into the general potential of LLM in EM methods and its application in the 4EM method, and (3) implications for enterprise modeling methods.

关键词： Enterprise Modeling Large Language Model Modeling Method ChatGPT Prompt meta-model

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